






'''simple docstring'''







import multiprocessing
import time

from arguments import PretokenizationArguments
from datasets import load_dataset

from transformers import AutoTokenizer, HfArgumentParser


def       __UpperCamelCase					(      lowercase_       :  Any   ):
       """simple docstring"""




       a_						     =			{}
       a_						     =			tokenizer(example['content']   ,       truncation=lowercase_   )['input_ids']
       a_						     =			len(example['content']   ) / len(output['input_ids']   )
       return output


__lowerCAmelCase        =							HfArgumentParser(PretokenizationArguments)
__lowerCAmelCase        =							parser.parse_args()
if args.num_workers is None:
  __lowerCAmelCase        =							multiprocessing.cpu_count()
__lowerCAmelCase        =							AutoTokenizer.from_pretrained(args.tokenizer_dir)

__lowerCAmelCase        =							time.time()
__lowerCAmelCase        =							load_dataset(args.dataset_name, split="train")
print(f"""Dataset loaded in {time.time()-t_start:.2f}s""")

__lowerCAmelCase        =							time.time()
__lowerCAmelCase        =							ds.map(
    tokenize,
    num_proc=args.num_workers,
    remove_columns=[
        "repo_name",
        "path",
        "copies",
        "size",
        "content",
        "license",
        "hash",
        "line_mean",
        "line_max",
        "alpha_frac",
        "autogenerated",
    ],
)
print(f"""Dataset tokenized in {time.time()-t_start:.2f}s""")

__lowerCAmelCase        =							time.time()
ds.push_to_hub(args.tokenized_data_repo)
print(f"""Data pushed to the hub in {time.time()-t_start:.2f}s""")












'''simple docstring'''







def       __UpperCamelCase					(      lowercase_       :  list[int]   ,       lowercase_       :  list[int]   ,       lowercase_       :  int   ):
       """simple docstring"""




       return not any(
           neighbour == 1 and colored_vertices[i] == color
           for i, neighbour in enumerate(lowercase_   )   )


def       __UpperCamelCase					(      lowercase_       :  list[list[int]]   ,       lowercase_       :  int   ,       lowercase_       :  list[int]   ,       lowercase_       :  int   ):
       """simple docstring"""




       if index == len(lowercase_   ):
              return True

       # Recursive Step
       for i in range(lowercase_   ):
              if valid_coloring(graph[index]   ,       lowercase_   ,       lowercase_   ):
                     # Color current vertex
                     a_						     =			i
                     # Validate coloring
                     if util_color(lowercase_   ,       lowercase_   ,       lowercase_   ,       index + 1   ):
                            return True
                     # Backtrack
                     a_						     =			-1
       return False


def       __UpperCamelCase					(      lowercase_       :  list[list[int]]   ,       lowercase_       :  int   ):
       """simple docstring"""




       a_						     =			[-1] * len(lowercase_   )

       if util_color(lowercase_   ,       lowercase_   ,       lowercase_   ,       0   ):
              return colored_vertices

       return []




